Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Insight
One of the most popular articles ever written for the Harvard Business Review was authored by Frederick Herzberg in 1968.
Agile/Lean Portfolio Planning with Kanban
Too many organizations struggle today with the issue of constantly shifting priorities, causing many teams and individuals to work on several projects simultaneously. What was the number-one priority yesterday might not be the same today. So how can organizations maintain flexibility and effective responsiveness to changing business needs while providing their teams with the necessary focus to actually get something done?
As project manager, you have a great deal of say regarding decisions affecting your project, but everyone on the team -- including engineers, QA, sales, customer service, and other stakeholders -- knows that the project will only succeed if there is substantial consensus on what to do.
The title of a recent article in The Economist reads, "Companies Hope That "Chief Customer Officers" Will Provide Better Service.
Beyond the Hype: Cloud Computing in Analytics
Machine learning (ML) techniques, often referred to as predictive analytics or marketing analytics, are becoming commonplace in business and research alike. Regardless of name, all refer to the process of collecting and processing data along with the subsequent application of mathematical analysis to gain valuable insights.

